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About Data Feminism for AI
Data Feminism for AI
Stanford
Featuring "Data Feminism" author and Emory University Prof. Lauren Klein, followed by a panel with L. Klein, C. Sabatti, and A. Daub.
Join us for a lecture and a panel on how principles around Data Feminism can be applied to conversations around AI in our current technological landscape.
In Data Feminism (MIT Press, 2020), Klein and her coauthor Catherine D'Ignazio established a set of principles for doing more just and equitable data science. Informed by the past several decades of intersectional feminist activism and critical thought, the principles of data feminism modeled how to examine and challenge power, rethink binaries and hierarchies, elevate emotion and embodiment, consider context, embrace pluralism, and make labor visible. How can these principles be applied to the current conversation about AI, its present harms, and its future possibilities? This talk will briefly summarize the principles of data feminism before moving to a set of examples that show how these principles can be applied–and extended–in our current technological landscape.
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Is Data Feminism for AI area wheelchair accessible?
As far as we know, Data Feminism for AI is wheelchair accessible. However, we highly recommend checking directly on the Data Feminism for AI website accessibility page for more specific information.
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Is the Data Feminism for AI handicap accessible?
As far as we know, Data Feminism for AI is handicap accessible. However, we highly recommend checking directly on the Data Feminism for AI website accessibility section to learn more about Data Feminism for AI accessibility and ADA compliance.
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